Video Annotator - United Arab Emirates

Video Annotator Vision-Language-Action (VLA) Data Project  Location: [Remote]  Employment Type: [Full-time/ Contract]  Experience Level: Entry to Mid-level  About the Role  We are looking for detail-oriented Video Annotators to support a Vision-Language-Action (VLA) dataset project. In this role, you will watch short video clips of physical tasks/activities and produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the action taking place in each segment.  Key Responsibilities  - Watch assigned videos in full before beginning annotation to understand the overall task and context. - Segment each video into discrete, logical steps/events based on visible action boundaries.  - Write clear, concise, and grammatically correct step-by-step descriptions (instructions) for each segment, accurately reflecting what is happening on screen.  - Ensure annotations are action-oriented, unambiguous, and consistent in tense, tone, and phrasing across the dataset.  - Assign accurate start and end timestamps for each segment.  - Follow annotation guidelines, taxonomies, and style guides provided by the project team. - Flag videos that are unclear, corrupted, mislabeled, or otherwise unsuitable for annotation.  - Participate in calibration sessions and incorporate reviewer/QA feedback to improve annotation quality and consistency.  - Meet daily/weekly productivity and quality targets without compromising accuracy. - Maintain confidentiality of all project data and materials.  Required Qualifications  - English Proficiency: C1 level (CEFR) or above — required. Strong command of grammar, vocabulary, and sentence construction is essential, as output quality directly depends on writing clarity.  - Excellent attention to detail and ability to spot subtle changes in visual scenes.  - Strong written communication skills; ability to describe actions concisely and precisely. - Comfort working with video-based tools and annotation software (training provided). - Ability to work independently, follow detailed guidelines, and maintain consistency over repetitive tasks. - Reliable internet connection and access to a computer with a modern browser.  - Basic computer literacy (file handling, web-based tools, spreadsheets). Preferred Qualifications  - Prior experience in data annotation, labeling, transcription, or content moderation.  - Familiarity with AI/ML concepts, especially computer vision, NLP, or robotics datasets. - Experience writing instructional or procedural content (e.g., how-to guides, SOPs, recipes). - Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).  What We're Looking For  - A sharp eye for detail and a passion for precision in written language.  - Someone who can watch an activity and translate it into clear, step-by-step written instructions a person (or a machine) could follow.  - A self-starter who is comfortable with repetitive, focused work and iterative feedback.  Evaluation / Selection Process  - English proficiency assessment (C1 level verification)  - Annotation skills test (sample video segmentation + step-writing task)  - Interview / calibration round  - Onboarding and guideline training